The equation Y=.34X_1+.23X_2-.47X_3+.12{X_4} is the regression equation in terms of variables that c
Question: The equation \(Y=.34{{X}_{1}}+.23{{X}_{2}}-.47{{X}_{3}}+.12{{X}_{4}}\) is the regression equation in terms of variables that contribute to anxiety in working women. Assuming
\(\begin{aligned} & Y=the\text{ }measure\text{ }of\text{ }the\text{ }level\text{ }of\text{ }anxiety \\ & {{X}_{1}}=\text{the measure of job stress} \\ & {{\text{X}}_{\text{2}}}=\text{the measure of social stress} \\ & {{\text{X}}_{\text{3}}}=the\text{ age of the woman} \\ & {{\text{X}}_{\text{4}}}=\text{the measure of job security}\text{.} \\ \end{aligned}\)a) Which variable has the greatest effect on the anxiety level
b) Rank the variables in terms of their importance to anxiety.
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Solution: The answer consists of 1 page
Deliverable: Word Document![](/images/msword.png)
Deliverable: Word Document
![](/images/msword.png)